A New Data Aggregation Algorithm for Clustering Distributed Nodes in Sensor Networks

Lee, Suk-Jin; Lee, Chun-Jai; Cho, You Ze; Kim, Sung Un

doi:10.1007/978-3-540-30197-4_50

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…3 (6) 또한 클러스터 헤드노드에서 소비되는 데이터 수 신에너지의 범위는 다음 식 (7)과 같다.   ≤         (7) 다중 홉 전송을 기반으로 하기 때문에 클러스터 헤드노드는 항상 첫 번째 고리의 클러스터 멤버노드 로부터 데이터를 수신하므로 클러스터 헤드노드의 데이터 수신에너지는 식 (7)    ≦           (11)    ≦        (12)    ≦               (13) 다음 식 (14)는 클러스터 간 하이브리드 데이터통 합 방법을 적용할 경우에 각 클러스터 헤드노드에서 (1) 각 센서노드들을 그림 2와 같이 층 별로 클러스터 를 형성한다. (2) 센서네트워크에서 적용하는 클러스터 내부 데이 터통합 방법(하이브리드, 다중 홉 전송 기반 또는 그림 9.…”

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A Study on the Energy Efficient Data Aggregation Method for the Customized Application of Underwater Wireless Sensor Networks

Kim¹,

Park²,

Yu³

2011

Journal of Korea Multimedia Society

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UWSNs(Underwater Wireless Sensor Networks) need effective modeling fitted to the customized type of application and its covering area. In particular it requires an energy efficient data aggregation method for such customized application. In this paper, we envisage the application oriented model for monitoring the pollution or intrusion detection over a given underwater area. The suggested model is based on the honeycomb array of hexagonal prisms. In this model, the purpose of data aggregation is that the head node of each layer(cluster) receives just one event data arrived firstly and transfer this and its position data to the base station effectively in the manner of energy efficiency and simplicity without duplication.Here if we apply the existent data aggregation methods to this kind of application, the result is far from energy efficiency due to the complexity of the data aggregation process based on the shortest path or multicast tree. In this paper we propose three energy efficient and simple data aggregation methods in the domain of cluster and three in the domain of inter-cluster respectively. Based on the comparative performance analysis of the possible combination pairs in the two domains, we derive the best energy efficient data aggregation method for the suggested application.

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A Study on the Energy Efficient Data Aggregation Method for the Customized Application of Underwater Wireless Sensor Networks

Kim¹,

Park²,

Yu³

2011

Journal of Korea Multimedia Society

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DISAGREE: disagreement-based querying in wireless sensor networks

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An Architecture for Local Decision Support in Ad Hoc Sensor Networks

O’Brien

Julien

Hammer

et al. 2007

Computing in Civil Engineering (2007)

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The Intelligent Job Site is becoming a reality as applications (e.g., RFID for materials tracking, laser scanning and GPS for surveying and layout) using sensors and mobile computing devices are being developed and deployed commercially. This creates an opportunity for workers to access sensors in an ad hoc manner as they move through a job site. However, re-tasking and re-use of sensor data in a dynamic setting presents significant challenges including ad hoc identification of sensors in a local environment, the generalization of sensor information, and the use of such dynamic info for decision support applications. All these tasks require coordinated advancement of a variety of information and communication technologies. To achieve a generalized approach to make use of local sensor data, this paper describes a three-layer architecture which abstracts functionality into three corresponding tiers: a layer for sensor communication that handles physical communication between devices; a middle-layer for data processing and abstraction of sensor data from specific devices; and a top layer for decision support applications. At each of the three tiers in the architecture the level of abstraction increases, allowing for development of decision support applications at the top level that are not directly tied to specific sensors or computing devices. This paper demonstrates the usefulness and versatility of the proposed three-tier architecture by describing two safety applications envisaged for the Intelligent Job Site.

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A New Data Aggregation Algorithm for Clustering Distributed Nodes in Sensor Networks

Cited by 3 publications

References 3 publications

A Study on the Energy Efficient Data Aggregation Method for the Customized Application of Underwater Wireless Sensor Networks

A Study on the Energy Efficient Data Aggregation Method for the Customized Application of Underwater Wireless Sensor Networks

DISAGREE: disagreement-based querying in wireless sensor networks

An Architecture for Local Decision Support in Ad Hoc Sensor Networks

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